code: def test_roc_multi(roc_multi_classification_values):
      fpr, tpr, label = roc_multi_classification_values
      # test when fpr and tpr are lists
      multi_roc = plot.ROC(fpr, tpr, label=label)
      multi_roc.plot()
  
      # test when fpr and tpr are np.arrays
      fpr_np_array = [np.array(fpr_list) for fpr_list in fpr]
      tpr_np_array = [np.array(tpr_list) for tpr_list in tpr]
      multi_roc = plot.ROC(fpr_np_array, tpr_np_array, label=label)
      multi_roc.plot()
  
imports: from functools import partial
  import sys
  from unittest.mock import Mock
  import numpy
  from matplotlib.testing.decorators import image_comparison
  from sklearn_evaluation import plot
label_desc: Use image node_id 8 for calling a global function with example usage: test_roc_multi(roc_multi_classification_values) without return types